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An accessible overview of the statistical analysis methods which can be used to investigate climate extremes and analyse potential risk. Illustrated with case studies, and including datasets and analysis software, it provides the necessary tools to analyse climate risk. Invaluable for students and researchers working in climate sciences.
Written for climatologists and applied statisticians, this book explains the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. The accuracy of the algorithms is tested by means of Monte Carlo experiments.
It shows the bootstrap to perform reliably in the most important statistical estimation techniques: regression, spectral analysis, extreme values and correlation.This book is written for climatologists and applied statisticians.
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